1.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
2.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
3.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
4.Mechanism by which KLF9 regulates IFN-β expression in macrophages.
Xiurui YAN ; Zhaoqing GUAN ; Jianli SONG ; Yaolin ZHANG
Chinese Journal of Cellular and Molecular Immunology 2025;41(10):882-887
Objective To investigate the role and mechanism of the zinc finger protein Kruppel-like transcription factor 9 (KLF9) in the stimulation of type I interferon expression induced by herpes simplex virus type 1 (HSV-1) in macrophages. Methods Agarose Gel electrophoresis, quantitative real-time PCR (qRT-PCR) and western blot analyses were employed to detect the KLF9 relative expression in bone marrow-derived macrophages (BMDMs) from Klf9-/- (gKO) mice and wild-type (WT) mice. RNA-seq analysis was utilized to identify the potential targeted genes upon HSV-1 stimulation in BMDMs. ELISA was used to measure the potent of IFN-β in the supernatant of BMDMs derived from gKO and WT mice after HSV-1 stimulation. qRT-PCR analysis was employed to further confirm the changes of Ifnb1 and interferon-stimulated gene (ISG) such as interferon-induced protein with tetratricopeptide repeats 1 (Ifit1), interferon-stimulated exonuclease gene 20 (Isg20), cholesterol 25-hydroxylase (Ch25h) and 2'-5' oligoadenylate synthetase-like 1 (Oasl1). Western blot was used to detect the expression of phosphorylated interferon regulatory factor-3 (p-IRF3), IRF3, phosphorylated interferon regulatory factor-7 (p-IRF7), IRF7, phosphorylated nuclear factor-kappa B p65 (p-NF-κB p65) and NF-κB p65. CUT-Tag and ChIP-qPCR assay were utilized to confirm the binding region of KLF9 in Ifnb1. Results The KLF9 expression was significantly decreased in BMDMs from gKO mice compared with that from WT mice. The RNA-seq analysis showed that Klf9 deletion in BMDMs resulted in an impaired type I interferon signaling pathway. The qRT-PCR analysis revealed that Klf9 deletion in BMDMs led to a significant decrease of Ifnb1 and ISG such as Ifit1, Ch25h and Oasl1 except Isg20. Moreover, ELISA revealed that Klf9 knockout in BMDMs resulted in a significant decrease of IFN-β secreted from BMDMs. Mechanistically, KLF9 directly binds to the promoter of Ifnb1. Conclusion KLF9 is essential for macrophages to resist HSV-1 infection.
Animals
;
Kruppel-Like Transcription Factors/physiology*
;
Interferon-beta/metabolism*
;
Macrophages/virology*
;
Mice
;
Herpesvirus 1, Human/physiology*
;
Mice, Knockout
;
Signal Transduction
;
Mice, Inbred C57BL
;
Interferon Regulatory Factor-3/genetics*
;
Interferon Regulatory Factor-7/genetics*
;
Gene Expression Regulation
5.Pancreas multidisciplinary team optimizes the diagnosis and treatment of pancreas-related diseases and improves the prognosis of pancreatic cancer patients
Jian′ang LI ; Yaolin XU ; Ni DING ; Yuan JI ; Lingxiao LIU ; Shengxiang RAO ; Yiqun ZHANG ; Xiuzhong YAO ; Yue FAN ; Cheng HUANG ; Yuhong ZHOU ; Lili WU ; Yi DONG ; Lei ZHANG ; Yefei RONG ; Tiantao KUANG ; Xuefeng XU ; Liang LIU ; Dansong WANG ; Dayong JIN ; Wenhui LOU ; Wenchuan WU
Chinese Journal of Surgery 2022;60(7):666-673
Objectives:To evaluate the role of pancreas multidisciplinary team(MDT) clinic in the diagnosis of pancreatic diseases,patient compliance with MDT advice,and the impact of MDT on the postoperative survival of patients with pancreatic cancer.Methods:The study included 927 patients(554 males,373 females,aged (58.1±13.3)years (range: 15 to 89 years)) that had visited the pancreas MDT clinic of Zhongshan Hospital from May 2015 to December 2021,and 677 patients(396 males, 281 females, aged (63.6±8.9)years(range: 32 to 95 years)) who underwent radical surgery and with pathologically confirmed pancreatic adenocarcinoma from January 2012 to December 2020,of whom 79 patients had attended the pancreas MDT. The clinical and pathological data were collected and analyzed retrospectively. Diseases were classified in accordance with 2010 WHO classification of tumors of the digestive system and usual clinical practices. The Kaplan-Meier method was used for drawing the survival curve and calculating the survival rate. The univariate analysis was done by Log-rank test and the multivariate analysis was done by COX proportional hazards model. Survival rates were compared using χ 2 test. Results:Among the 927 patients that had visited the MDT clinic,233 patients(25.1%) were referred due to undetermined diagnosis. A direct diagnosis was made in 109 cases (46.8%,109/233) by the MDT clinic, of which 98 were consistent with the final diagnosis,resulting in an accuracy of 89.9%(98/109). The direct diagnosis rate in the recent years(36.6%(41/112),from June 2019 to December 2021) decreased compared to that in the previous years(56.2%(68/121),from May 2015 to May 2019),yet the accuracy in the recent years(90.2%,37/41) was basically the same as before (89.7%,61/68). The rate of compliance of the entire cohort was 71.5%(663/927), with the compliance rate in the recent two and a half years(81.4%,338/415) remarkably higher than that in the previous four years(63.4%,325/512). Patients with pancreatic cancer that attended the MDT exhibited a trend toward longer median postoperative survival than patients that did not attend the MDT,but the difference was not statistically significant(35.2 months vs.30.2 months, P>0.05). The 1-year and 3-year survival rates of patients that attended the MDT were significanly higher than patients that did not attend the MDT(88.6% vs. 78.4%, P<0.05;32.9% vs. 21.9%, P<0.05,respectively),but the 5-year survival rate was not statistically different(7.6% vs. 4.8%, P>0.05). Conclusions:The pancreas MDT clinic is an accurate and convenient way to diagnose intractable pancreatic diseases,and in the recent years the patients′ compliance rate with MDT advice has increased. Pancreatic cancer patients that have attended the MDT have higher 1-year and 3-year postoperative survival rates,but the long-term survival benefits of MDT still needs to be proved by clinical studies on a larger scale.
6.Pancreas multidisciplinary team optimizes the diagnosis and treatment of pancreas-related diseases and improves the prognosis of pancreatic cancer patients
Jian′ang LI ; Yaolin XU ; Ni DING ; Yuan JI ; Lingxiao LIU ; Shengxiang RAO ; Yiqun ZHANG ; Xiuzhong YAO ; Yue FAN ; Cheng HUANG ; Yuhong ZHOU ; Lili WU ; Yi DONG ; Lei ZHANG ; Yefei RONG ; Tiantao KUANG ; Xuefeng XU ; Liang LIU ; Dansong WANG ; Dayong JIN ; Wenhui LOU ; Wenchuan WU
Chinese Journal of Surgery 2022;60(7):666-673
Objectives:To evaluate the role of pancreas multidisciplinary team(MDT) clinic in the diagnosis of pancreatic diseases,patient compliance with MDT advice,and the impact of MDT on the postoperative survival of patients with pancreatic cancer.Methods:The study included 927 patients(554 males,373 females,aged (58.1±13.3)years (range: 15 to 89 years)) that had visited the pancreas MDT clinic of Zhongshan Hospital from May 2015 to December 2021,and 677 patients(396 males, 281 females, aged (63.6±8.9)years(range: 32 to 95 years)) who underwent radical surgery and with pathologically confirmed pancreatic adenocarcinoma from January 2012 to December 2020,of whom 79 patients had attended the pancreas MDT. The clinical and pathological data were collected and analyzed retrospectively. Diseases were classified in accordance with 2010 WHO classification of tumors of the digestive system and usual clinical practices. The Kaplan-Meier method was used for drawing the survival curve and calculating the survival rate. The univariate analysis was done by Log-rank test and the multivariate analysis was done by COX proportional hazards model. Survival rates were compared using χ 2 test. Results:Among the 927 patients that had visited the MDT clinic,233 patients(25.1%) were referred due to undetermined diagnosis. A direct diagnosis was made in 109 cases (46.8%,109/233) by the MDT clinic, of which 98 were consistent with the final diagnosis,resulting in an accuracy of 89.9%(98/109). The direct diagnosis rate in the recent years(36.6%(41/112),from June 2019 to December 2021) decreased compared to that in the previous years(56.2%(68/121),from May 2015 to May 2019),yet the accuracy in the recent years(90.2%,37/41) was basically the same as before (89.7%,61/68). The rate of compliance of the entire cohort was 71.5%(663/927), with the compliance rate in the recent two and a half years(81.4%,338/415) remarkably higher than that in the previous four years(63.4%,325/512). Patients with pancreatic cancer that attended the MDT exhibited a trend toward longer median postoperative survival than patients that did not attend the MDT,but the difference was not statistically significant(35.2 months vs.30.2 months, P>0.05). The 1-year and 3-year survival rates of patients that attended the MDT were significanly higher than patients that did not attend the MDT(88.6% vs. 78.4%, P<0.05;32.9% vs. 21.9%, P<0.05,respectively),but the 5-year survival rate was not statistically different(7.6% vs. 4.8%, P>0.05). Conclusions:The pancreas MDT clinic is an accurate and convenient way to diagnose intractable pancreatic diseases,and in the recent years the patients′ compliance rate with MDT advice has increased. Pancreatic cancer patients that have attended the MDT have higher 1-year and 3-year postoperative survival rates,but the long-term survival benefits of MDT still needs to be proved by clinical studies on a larger scale.
7.NEURAL NETWORK FOR THE QUANTUM CORRECTION OF NANOSCALE SOI MOSFETS
Zunchao LI ; Yaolin JIANG ; Lili ZHANG
Journal of Pharmaceutical Analysis 2006;18(2):118-121
The quantum effect of carrier distribution in nanoscale SOI MOSFETs is evident and must be taken into consideration in device modeling and simulation. In this paper, a backpropagation neural network was applied to predict the quantum density of carriers from the classical density, and the influence of the network structure on training speed and accuracy was studied. It was concluded that a carefully trained neural network with two hidden layers using the Levenberg-Marquardt learning algorithm could predict the carrier quantum density of SOI MOSFETs in very good agreement with Schrdinger Poisson equations.
8.The role of vasoactive substances in hyperhemodynamics after orthotopic liver transplantation in cirrhotic rats.
Hui CAO ; Zhiyong WU ; Xiaojie ZHANG ; Haiying ZHANG ; Zhiping CHEN ; Yaolin KUANG
Chinese Medical Journal 2003;116(3):405-409
OBJECTIVETo evaluate the role of endogenous vasoactive substances in hyperdynamic circulation after orthotopic liver transplantation (OLT) in cirrhotic rats.
METHODSMale SD rats were randomly divided into 4 groups: normal controls (NL, n = 10), rats with intrahepatic portal hypertension (IHPH, n = 10), normal rats with OLT (NL-OLT, n = 9), and IHPH rats with OLT (IHPH-OLT, n = 16). IHPH-OLT rats were divided into 2 subgroups: Group A (3 days after OLT, n = 9) and Group B (7 days after OLT, n = 7). IHPH was induced by injection of CCI(4) and OLT was performed using cuffs for the anastomosis of suprahepatic inferior vena cava, infrahepatic vena cava and portal vein. Radioactive microsphere method was used for hemodynamic study. The concentrations of plasma glucagon (Glu), nitric oxide (NO), prostaglandin (PGI(2)), thromboxaneA(2) (TXA(2)) and endothelin (ET) were measured by radioimmunoassay.
RESULTSNo significant difference in hemodynamic changes was observed between NL-OLT and NL rats, except for mean arterial blood pressure. No significant changes in NO and PGI(2) were seen between NL-OLT and NL rats. Glu, ET and TXA(2) were significantly elevated in NL-OLT rats compared with NL rats (P < 0.05). Characteristics of systemic and splanchnic hyperdynamic circulatory states were observed in IHPH, IHPH-OLT A, IHPH-OLT B rats. Both the magnitude of hyperhemodynamics and increasing concentrations of Glu and NO occurred in the order of IHPH > IHPH-OLT A > IHPH-OLT B rats. The level of plasma PGI(2) in IHPH rats was significantly elevated compared with NL rats, while PGI(2) in IHPH-OLT A and B rats was found to be lower than in IHPH rats (P < 0.05). There was no obvious difference in PGI(2) between IHPH-OLT B and NL rats. Vasoconstrictors including ET and TXA(2) were found elevated in IHPH-OLT rats.
CONCLUSIONSOLT does not induce postoperative hyperhemodynamics per se. Vasodilators including NO and Glu, especially NO, play an important role in the hyperhemodynamics of IHPH and IHPH-OLT rats. The results of the present study demonstrate that the persistence of systemic and splanchnic hyperkinetic circulation in the early stages after OLT may result from those non-eliminated factors that caused hyperhemodynamics in liver cirrhosis patients with portal hypertension before OLT.
Animals ; Endothelins ; blood ; physiology ; Epoprostenol ; blood ; physiology ; Glucagon ; blood ; physiology ; Hemodynamics ; Liver Cirrhosis, Experimental ; physiopathology ; Liver Transplantation ; Male ; Nitric Oxide ; blood ; physiology ; Rats ; Rats, Sprague-Dawley ; Thromboxane A2 ; blood ; physiology
9.Changes in systemic and splanchnic hemodynamics after orthotopic liver transplantation in cirrhotic rats
Hui CAO ; Zhiyoag WU ; Xiaojie ZHANG ; Haiying ZHANG ; Zhiping CHEN ; Yaolin KUANG
Chinese Medical Journal 2000;113(12):1108-1111
Objective To investigate early changes in systemic and splanchnic hemodynamics after orthotopic liver transplantation (OLT) in normal and cirrhotic rats. Methods Male Sprague-Dawley rats were divided into 4 groups:normal controls (NL,n=10),intrahepatic portal hypertension (IHPH, n=10) induced by injection of CCl4, normal rats with OLT (NL-OLT,n=9) and IHPH rats with OLT (IHPH-OLT,n=16). IHPH-OLT rots were divided into 2 subgroups: 3 days (Group A, n=9) and 7 days (Group B, n=7) after OLT. OLT was pedormed in rats using cuffs for the anastomosis of the suprahepatic inferior vena cava,infrahepatic vena cava and portal vein. Two weeks after production of IHPH rots, 7 days after NL-OLT rats, 3 days and 7 days after IHPH-OLT rats, radicective microspheres were used in a hemodynamic study. Results There were no significant differences in hemodynamic changes between NL-OLT and NL rets, except mean arterial blood pressure (MAP).The characteristies of systemic and splanchnic hyperdynamic circulatory slate,including increased cardiac output and splanchnic blood flow, decreased mean acterial blood pressure, total peripheral vascular resistance and splanchnic vascular resistance were ibserved in IHPH, IHPH-OLT A, and IHPH-OLT B rats,The magnitude of hyperhemodynamics was in the order of IHPH>IHPH-OLT A>IHPH-OLT B rats. Moreover, the derangement of splanchnic hyper hemodynamice was more significant than that of systemic hyperhemodynamics. Conclusioos The present study demonstrates that the persistence of early systemic and splanchnic hyperkinetic circulation after OLT may be the consequence of factors which maintain hyperhemo dynamics in liver cirrhosis, where portal hypertension is not completely eliminated. Hyperhemodynamics is not induced by OLT per se.

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